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Proceedings Paper

Internal quality evaluation of apples using spectral absorption and scattering properties
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Paper Abstract

The objective of this research was to measure the absorption and reduced scattering coefficients (μa and μs', respectively) of apples via a spatially-resolved hyperspectral imaging technique and relate them to fruit firmness and soluble solids content (SSC). Spatially-resolved hyperspectral images were acquired from 600 'Golden Delicious' apples, and values for μa and μs' were determined using an inverse algorithm to fit the diffusion theory model to the spectral scattering profiles over 500-1000 nm. There were two predominant peaks in the absorption spectra around 675 nm and 970 nm due to the presence of chlorophyll and water in the fruit, respectively. Spectra of μs' decreased monotonically with the increasing wavelength. Both μa and μs' were correlated with fruit firmness, with the correlation coefficient (r) of 0.82 and 0.80, respectively. Values of μa were also correlated with the SSC with r = 0.70. The combined data of μa and μs' were able to predict fruit firmness with r = 0.88 and the standard error of prediction (SEP) of 5.66 N, and SSC with r = 0.82 and SEP = 0.75%. This research demonstrated the potential of using spectral absorption and scattering properties to evaluate internal quality attributes of horticultural products.

Paper Details

Date Published: 12 October 2007
PDF: 11 pages
Proc. SPIE 6761, Optics for Natural Resources, Agriculture, and Foods II, 67610M (12 October 2007); doi: 10.1117/12.751937
Show Author Affiliations
Jianwei Qin, Michigan State Univ. (United States)
Renfu Lu, USDA Agricultural Research Service (United States)
Yankun Peng, China Agricultural Univ. (China)

Published in SPIE Proceedings Vol. 6761:
Optics for Natural Resources, Agriculture, and Foods II
Yud-Ren Chen; George E. Meyer; Shu-I Tu, Editor(s)

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